Cloud Infrastructure Engineer/ DevOps Specialist

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Описание

Key Responsibilities Infrastructure Management: Architect, deploy, and manage secure enterprise landing zones and cloud infrastructure natively on GCP. Orchestration & Containerization: Manage, scale, and optimize Kubernetes clusters (specifically Google Kubernetes Engine - GKE), ensuring optimal resource allocation and service mesh connectivity. Security & Compliance: Implement and maintain stringent security controls, including Identity and Access Management (IAM) roles, network policies, data encryption at rest and in transit, and vulnerability patching within a secured environment. CI/CD Automation: Build and maintain robust Infrastructure as Code (IaC) pipelines using tools like Terraform to ensure repeatable, audited deployments. Operations & On-Call Support: Participate in an engineering standby rotation to proactively monitor system health, respond to high-priority alerts, and maintain our system uptime Service Level Agreements (SLAs). Job Requirements Technical Skills & Expertise: GCP Mastery: Proven hands-on experience administering core GCP services (Compute Engine, VPCs, Cloud Storage, IAM, Cloud Logging/Monitoring). Kubernetes Expertise: Deep operational knowledge of Kubernetes architectures, deployment strategies, ingress controllers, and troubleshooting containerized workloads. Infrastructure as Code (IaC): Strong proficiency in Terraform for managing state files and modular cloud deployments. , GitLab CI, GitHub Actions, or GCP Cloud Build). Operational & Environment , air-gapped networks, jump hosts/bastion servers, or environments under strict compliance frameworks like ISO 27001, IM8, or MAS guidelines). Standby Availability: Willingness and capability to participate in a scheduled on-call standby rotation (including weekends/after-hours) with a reliable remote setup and quick response times. Soft Skills & Qualifications Strong analytical and troubleshooting skills under pressure during critical system incidents. Excellent documentation habits for mapping network topology, architecture decisions, and operational runbooks. Professional certifications such as GCP Professional Cloud Architect GCP Professional Google Cloud DevOpsEngineer Certified Kubernetes Administrator (CKA) are highly preferred.

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